Prediction

Model

fofr/kolors:05df67f7

cdz12h2gehrgg0cgjbh8kteym4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

5.9s

Created

over 1 year ago

Webhook

–

Input

prompt: a kingfisher saying "hello" in a speech bubble
negative_prompt: Empty string
number_of_images: 1
width: 1024
height: 1024
steps: 25
cfg: 5
scheduler: EulerDiscreteScheduler
output_format: webp
output_quality: 80

{
  "cfg": 5,
  "height": 1024,
  "negative_prompt": "",
  "number_of_images": 1,
  "output_format": "webp",
  "output_quality": 80,
  "prompt": "a kingfisher saying \"hello\" in a speech bubble",
  "scheduler": "EulerDiscreteScheduler",
  "steps": 25,
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Mfp**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run fofr/kolors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/kolors:05df67f7cf9d1cc4a07af44340d92aa48df89601a30e9b76523addcad3a00bca",
  {
    input: {
      cfg: 5,
      height: 1024,
      negative_prompt: "",
      number_of_images: 1,
      output_format: "webp",
      output_quality: 80,
      prompt: "a kingfisher saying \"hello\" in a speech bubble",
      scheduler: "EulerDiscreteScheduler",
      steps: 25,
      width: 1024
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Mfp**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run fofr/kolors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/kolors:05df67f7cf9d1cc4a07af44340d92aa48df89601a30e9b76523addcad3a00bca",
    input={
        "cfg": 5,
        "height": 1024,
        "negative_prompt": "",
        "number_of_images": 1,
        "output_format": "webp",
        "output_quality": 80,
        "prompt": "a kingfisher saying \"hello\" in a speech bubble",
        "scheduler": "EulerDiscreteScheduler",
        "steps": 25,
        "width": 1024
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Mfp**********************************

This is your API token. Keep it to yourself.

Run fofr/kolors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "fofr/kolors:05df67f7cf9d1cc4a07af44340d92aa48df89601a30e9b76523addcad3a00bca",
    "input": {
      "cfg": 5,
      "height": 1024,
      "negative_prompt": "",
      "number_of_images": 1,
      "output_format": "webp",
      "output_quality": 80,
      "prompt": "a kingfisher saying \\"hello\\" in a speech bubble",
      "scheduler": "EulerDiscreteScheduler",
      "steps": 25,
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "id": "cdz12h2gehrgg0cgjbh8kteym4",
  "model": "fofr/kolors",
  "version": "05df67f7cf9d1cc4a07af44340d92aa48df89601a30e9b76523addcad3a00bca",
  "input": {
    "cfg": 5,
    "height": 1024,
    "negative_prompt": "",
    "number_of_images": 1,
    "output_format": "webp",
    "output_quality": 80,
    "prompt": "a kingfisher saying \"hello\" in a speech bubble",
    "scheduler": "EulerDiscreteScheduler",
    "steps": 25,
    "width": 1024
  },
  "logs": "Random seed set to: 2209112854\nRunning workflow\ngot prompt\nExecuting node 2, title: Kolors Sampler, class type: KolorsSampler\n  0%|          | 0/25 [00:00<?, ?it/s]\n  8%|▊         | 2/25 [00:00<00:03,  7.09it/s]\n 12%|█▏        | 3/25 [00:00<00:03,  6.17it/s]\n 16%|█▌        | 4/25 [00:00<00:03,  5.76it/s]\n 20%|██        | 5/25 [00:00<00:03,  5.55it/s]\n 24%|██▍       | 6/25 [00:01<00:03,  5.40it/s]\n 28%|██▊       | 7/25 [00:01<00:03,  5.32it/s]\n 32%|███▏      | 8/25 [00:01<00:03,  5.27it/s]\n 36%|███▌      | 9/25 [00:01<00:03,  5.24it/s]\n 40%|████      | 10/25 [00:01<00:02,  5.22it/s]\n 44%|████▍     | 11/25 [00:02<00:02,  5.19it/s]\n 48%|████▊     | 12/25 [00:02<00:02,  5.18it/s]\n 52%|█████▏    | 13/25 [00:02<00:02,  5.17it/s]\n 56%|█████▌    | 14/25 [00:02<00:02,  5.17it/s]\n 60%|██████    | 15/25 [00:02<00:01,  5.17it/s]\n 64%|██████▍   | 16/25 [00:02<00:01,  5.16it/s]\n 68%|██████▊   | 17/25 [00:03<00:01,  5.15it/s]\n 72%|███████▏  | 18/25 [00:03<00:01,  5.15it/s]\n 76%|███████▌  | 19/25 [00:03<00:01,  5.15it/s]\n 80%|████████  | 20/25 [00:03<00:00,  5.15it/s]\n 84%|████████▍ | 21/25 [00:03<00:00,  5.15it/s]\n 88%|████████▊ | 22/25 [00:04<00:00,  5.15it/s]\n 92%|█████████▏| 23/25 [00:04<00:00,  5.15it/s]\n 96%|█████████▌| 24/25 [00:04<00:00,  5.15it/s]\n100%|██████████| 25/25 [00:04<00:00,  5.15it/s]\n100%|██████████| 25/25 [00:04<00:00,  5.27it/s]\nExecuting node 7, title: VAE Decode, class type: VAEDecode\nExecuting node 9, title: Save Image, class type: SaveImage\nPrompt executed in 5.38 seconds\noutputs:  {'9': {'images': [{'filename': 'R8_Kolor_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nR8_Kolor_00001_.png",
  "output": [
    "https://replicate.delivery/pbxt/D1xnP9anGMLMKdNgEz8IM8VRMxb1fDmm6waHBZ2YeAhdKbGTA/R8_Kolor_00001_.webp"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-07-08T15:07:03.668Z",
  "started_at": "2024-07-08T15:07:03.677876Z",
  "completed_at": "2024-07-08T15:07:09.536014Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/cdz12h2gehrgg0cgjbh8kteym4/cancel",
    "get": "https://api.replicate.com/v1/predictions/cdz12h2gehrgg0cgjbh8kteym4",
    "web": "https://replicate.com/p/cdz12h2gehrgg0cgjbh8kteym4"
  },
  "metrics": {
    "predict_time": 5.858137734,
    "total_time": 5.868014
  }
}

Generated in

5.9 seconds

Tweak it Report

Random seed set to: 2209112854 Running workflow got prompt Executing node 2, title: Kolors Sampler, class type: KolorsSampler 0%| | 0/25 [00:00<?, ?it/s] 8%|▊ | 2/25 [00:00<00:03, 7.09it/s] 12%|█▏ | 3/25 [00:00<00:03, 6.17it/s] 16%|█▌ | 4/25 [00:00<00:03, 5.76it/s] 20%|██ | 5/25 [00:00<00:03, 5.55it/s] 24%|██▍ | 6/25 [00:01<00:03, 5.40it/s] 28%|██▊ | 7/25 [00:01<00:03, 5.32it/s] 32%|███▏ | 8/25 [00:01<00:03, 5.27it/s] 36%|███▌ | 9/25 [00:01<00:03, 5.24it/s] 40%|████ | 10/25 [00:01<00:02, 5.22it/s] 44%|████▍ | 11/25 [00:02<00:02, 5.19it/s] 48%|████▊ | 12/25 [00:02<00:02, 5.18it/s] 52%|█████▏ | 13/25 [00:02<00:02, 5.17it/s] 56%|█████▌ | 14/25 [00:02<00:02, 5.17it/s] 60%|██████ | 15/25 [00:02<00:01, 5.17it/s] 64%|██████▍ | 16/25 [00:02<00:01, 5.16it/s] 68%|██████▊ | 17/25 [00:03<00:01, 5.15it/s] 72%|███████▏ | 18/25 [00:03<00:01, 5.15it/s] 76%|███████▌ | 19/25 [00:03<00:01, 5.15it/s] 80%|████████ | 20/25 [00:03<00:00, 5.15it/s] 84%|████████▍ | 21/25 [00:03<00:00, 5.15it/s] 88%|████████▊ | 22/25 [00:04<00:00, 5.15it/s] 92%|█████████▏| 23/25 [00:04<00:00, 5.15it/s] 96%|█████████▌| 24/25 [00:04<00:00, 5.15it/s] 100%|██████████| 25/25 [00:04<00:00, 5.15it/s] 100%|██████████| 25/25 [00:04<00:00, 5.27it/s] Executing node 7, title: VAE Decode, class type: VAEDecode Executing node 9, title: Save Image, class type: SaveImage Prompt executed in 5.38 seconds outputs: {'9': {'images': [{'filename': 'R8_Kolor_00001_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== R8_Kolor_00001_.png